
NutriAI — مدربك الذكي في التغذية
用AI分析你的饮食,获取针对你目标的个性化营养建议。
@ABDRAHMAN64352 · X
Check out what I just built with Lovable!
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用AI分析你的饮食,获取针对你目标的个性化营养建议。
@ABDRAHMAN64352 · X
Check out what I just built with Lovable!

Easyscale:搜索 X 账户、生成推介消息、追踪回复。
@denpoint1 · X
Find people on X who match your audience, then run outreach like Trello — from signal to DM to reply on one board.

拍摄食物照片,AI即时显示热量和营养宏量,无需应用安装。
u/eXt3000 · Reddit
I built a calorie tracker that lives entirely inside Telegram — no app store, no signup. Here are the ugly parts too Like a lot of people I quit calorie trackers because typing "chicken breast, 143 g" fifteen times a week is misery. So I built NutriAI: a Telegram Mini App where you photograph your plate and AI (Gemini) does the rest — calories, macros, 8 micronutrients, plus a 0–99 "sanity score" per dish that tells you how reasonable the meal is without lecturing you. Why Telegram instead


发现 cannabis 食谱、strain 档案和个性化 wellness 推荐
@saidzaripov · X

从生产网站中发现设计灵感、字体、调色板和UI模式。
sim04ful · HN
Fudge – Web Design References for AI

将菜单PDF转换为专业数字菜单,包含图片和5种语言翻译。
@juancastillamar · X
Hi Esther, I’m a frontend developer working in seo for let’s connect and keep growing!

搜索餐厅,发现当地人真正吃饭的地方,避免旅游陷阱。
kingchesco · HN
I know $90 for a dining app sounds absurd. And it’s not even an app; it's a wrapper for an LLM. But it is how it is built that makes it so expensive. I had to make a whole API just to call it (which because its own SAAS). All just to bypass dumb google reviews. Google Maps and reviews send people to places optimized for tourists and good copywriters. To find actual local hole-in-the-walls algorithmically, I had to first build that api (called BWENDI), a "spatial gravity" engine using 100GB+ of tweaked OSM, GeoNames, and other proprietary data. Instead of aggregating reviews, it mathematically calculates foot-traffic, throughput, transaction stats, and economic criticality among other factors. Bwendi is A Python/Node ETL pipeline feeding an LMDB-backed context API. It uses a proprietary 1MB binary grid served via Cloudflare Workers for millisecond edge reads with near-zero overhead, hosted in Switzerland. This was done of course to get the purest location context around every street

为餐厅快速创建AI二维码菜单,支持多语言翻译和实时更新。
@koskwikmenu · X

用AI生成简历和求职信,管理求职申请的工具套件。
@probiex007 · X

粘贴广告获得 AI 点评和 Butter Score,然后重写以优化转化。
@HowardYHuang · X

Browse cars in an interactive online showcase
@heisoxmayor · X
Throwback to this simple Car Showcase app i built when i was bored tech stack: - Next.js - TypeScript - React - Tailwind CSS - Vercel (deployment) live url: do you miss coding locally or has vibe coding taken over?